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You searched for +publisher:"University of South Carolina" +contributor:("Ralph E White"). Showing records 1 – 9 of 9 total matches.

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University of South Carolina

1. Khaleghi Rahimian, Saeed. Optimization and State Estimation of Li Ion Cells Using Single Particle Model.

Degree: PhD, Chemical Engineering, 2012, University of South Carolina

  Due to high energy density of Li ion cells, rechargeable Li ion batteries are used extensively in different markets and applications ranging from consumer… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Chemical engineering

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APA (6th Edition):

Khaleghi Rahimian, S. (2012). Optimization and State Estimation of Li Ion Cells Using Single Particle Model. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/579

Chicago Manual of Style (16th Edition):

Khaleghi Rahimian, Saeed. “Optimization and State Estimation of Li Ion Cells Using Single Particle Model.” 2012. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/579.

MLA Handbook (7th Edition):

Khaleghi Rahimian, Saeed. “Optimization and State Estimation of Li Ion Cells Using Single Particle Model.” 2012. Web. 08 Jul 2020.

Vancouver:

Khaleghi Rahimian S. Optimization and State Estimation of Li Ion Cells Using Single Particle Model. [Internet] [Doctoral dissertation]. University of South Carolina; 2012. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/579.

Council of Science Editors:

Khaleghi Rahimian S. Optimization and State Estimation of Li Ion Cells Using Single Particle Model. [Doctoral Dissertation]. University of South Carolina; 2012. Available from: https://scholarcommons.sc.edu/etd/579


University of South Carolina

2. Strange, Derek Alexander. Physics-Based Li-Svo Cathode Model.

Degree: MS, Chemical Engineering, 2011, University of South Carolina

  A cathode half cell physics-based model for a St. Jude Medical fabricated silver vanadium oxide (SVO) cathode coin cell battery was constructed. The model… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Cathode; Lithium primary battery; Mathematical model; Redlich-Kister; SVO

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APA (6th Edition):

Strange, D. A. (2011). Physics-Based Li-Svo Cathode Model. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/595

Chicago Manual of Style (16th Edition):

Strange, Derek Alexander. “Physics-Based Li-Svo Cathode Model.” 2011. Masters Thesis, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/595.

MLA Handbook (7th Edition):

Strange, Derek Alexander. “Physics-Based Li-Svo Cathode Model.” 2011. Web. 08 Jul 2020.

Vancouver:

Strange DA. Physics-Based Li-Svo Cathode Model. [Internet] [Masters thesis]. University of South Carolina; 2011. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/595.

Council of Science Editors:

Strange DA. Physics-Based Li-Svo Cathode Model. [Masters Thesis]. University of South Carolina; 2011. Available from: https://scholarcommons.sc.edu/etd/595


University of South Carolina

3. Yang, Tingting. MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM.

Degree: MS, Chemical Engineering, 2011, University of South Carolina

  A one-dimensional mathematical model is presented for a high temperature lithium -aluminum, iron disulfide molten salt battery system. Multi-physics transport phenomena in the electrolyte,… (more)

Subjects/Keywords: Discharge capacity; Precipitation; Thermal battery; Volume change

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APA (6th Edition):

Yang, T. (2011). MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/604

Chicago Manual of Style (16th Edition):

Yang, Tingting. “MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM.” 2011. Masters Thesis, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/604.

MLA Handbook (7th Edition):

Yang, Tingting. “MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM.” 2011. Web. 08 Jul 2020.

Vancouver:

Yang T. MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM. [Internet] [Masters thesis]. University of South Carolina; 2011. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/604.

Council of Science Editors:

Yang T. MATHEMATICAL MODELING OF LIAL/FES¬2 HIGH TEMPERATURE BATTERY SYSTEM. [Masters Thesis]. University of South Carolina; 2011. Available from: https://scholarcommons.sc.edu/etd/604


University of South Carolina

4. Cai, Long. Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method.

Degree: PhD, Chemical Engineering, 2010, University of South Carolina

  The lithium ion cell has been widely used in portable electronic devices, is used in aerospace and is the most promising power supplier for… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Finite Volume; Lithium Ion Cell; Modeling; Orthogonal Collocation on Finite Elements; Proper Orthogonal Decomposition; reduced order model

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APA (6th Edition):

Cai, L. (2010). Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/570

Chicago Manual of Style (16th Edition):

Cai, Long. “Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method.” 2010. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/570.

MLA Handbook (7th Edition):

Cai, Long. “Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method.” 2010. Web. 08 Jul 2020.

Vancouver:

Cai L. Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method. [Internet] [Doctoral dissertation]. University of South Carolina; 2010. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/570.

Council of Science Editors:

Cai L. Efficient Modeling of the Lithium Ion Cell Using the Proper Orthogonal Decomposition Method. [Doctoral Dissertation]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/570


University of South Carolina

5. Walker, Eric Alan. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.

Degree: MS, Chemical Engineering, 2013, University of South Carolina

  A particle filter (PF) is shown to be more accurate than non-linear least squares (NLLS) and an unscented Kalman filter (UKF) for predicting the… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Equivalent circuit model; Lithium-ion battery; Particle filter; Remaining useful life; Single particle model; Unscented Kalman filter

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APA (6th Edition):

Walker, E. A. (2013). Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2565

Chicago Manual of Style (16th Edition):

Walker, Eric Alan. “Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.” 2013. Masters Thesis, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/2565.

MLA Handbook (7th Edition):

Walker, Eric Alan. “Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries.” 2013. Web. 08 Jul 2020.

Vancouver:

Walker EA. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. [Internet] [Masters thesis]. University of South Carolina; 2013. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/2565.

Council of Science Editors:

Walker EA. Comparison of a Particle Filter and Other State Estimation Methods for Prognostics of Lithium-Ion Batteries. [Masters Thesis]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2565


University of South Carolina

6. Rayman, Sean. Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells.

Degree: PhD, Chemical Engineering, 2009, University of South Carolina

  Several industrial sites are now undergoing remediation to remove toxic waste that has managed to make it into the ecosystem. One way to remediate… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Eltrochemical Impedance Spectroscopy; Liquid Tin Anod Solid Oxide Fuel Cell; Parallel Plate Electrochemical Reactors

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APA (6th Edition):

Rayman, S. (2009). Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/85

Chicago Manual of Style (16th Edition):

Rayman, Sean. “Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells.” 2009. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/85.

MLA Handbook (7th Edition):

Rayman, Sean. “Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells.” 2009. Web. 08 Jul 2020.

Vancouver:

Rayman S. Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells. [Internet] [Doctoral dissertation]. University of South Carolina; 2009. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/85.

Council of Science Editors:

Rayman S. Modeling of Parallel Plate Electrochemical Reactors and Liquid Tin Anode Solid Oxide Fuel Cells. [Doctoral Dissertation]. University of South Carolina; 2009. Available from: https://scholarcommons.sc.edu/etd/85


University of South Carolina

7. Dai, Yiling. Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling.

Degree: PhD, Chemical Engineering, 2013, University of South Carolina

  Li-ion batteries are promising candidates as power sources for hybrid electric/electric vehicles, as well as storage devices for renewable energies (wind, solar). Longer life… (more)

Subjects/Keywords: Chemical Engineering; Engineering; capacity fade; Li-ion batteries; mathematical modeling

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APA (6th Edition):

Dai, Y. (2013). Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2442

Chicago Manual of Style (16th Edition):

Dai, Yiling. “Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling.” 2013. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/2442.

MLA Handbook (7th Edition):

Dai, Yiling. “Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling.” 2013. Web. 08 Jul 2020.

Vancouver:

Dai Y. Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling. [Internet] [Doctoral dissertation]. University of South Carolina; 2013. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/2442.

Council of Science Editors:

Dai Y. Studying On Capacity Fade Mechanisms of Li-Ion Batteries Through Modeling. [Doctoral Dissertation]. University of South Carolina; 2013. Available from: https://scholarcommons.sc.edu/etd/2442


University of South Carolina

8. Renganathan, Sindhuja. Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries.

Degree: PhD, Chemical Engineering, 2010, University of South Carolina

  Lithium based batteries have been actively pursued as potential power sources for more than a decade. Many studies have been conducted to improve the… (more)

Subjects/Keywords: Chemical Engineering; Engineering; integral tranform; Lithium ion battery; lithium thermal battery; Mathematical modeling; Mechanical stress; Volume Change

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APA (6th Edition):

Renganathan, S. (2010). Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/248

Chicago Manual of Style (16th Edition):

Renganathan, Sindhuja. “Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries.” 2010. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/248.

MLA Handbook (7th Edition):

Renganathan, Sindhuja. “Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries.” 2010. Web. 08 Jul 2020.

Vancouver:

Renganathan S. Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries. [Internet] [Doctoral dissertation]. University of South Carolina; 2010. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/248.

Council of Science Editors:

Renganathan S. Theoretical Analysis of Stress Generation and Volume Change In Lithium Ion and Lithium Thermal Batteries. [Doctoral Dissertation]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/248


University of South Carolina

9. Guo, Meng. THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES.

Degree: PhD, Chemical Engineering, 2011, University of South Carolina

  In this research work, a variety of thermal models for lithium-ion cells and battery systems with different materials and configurations were developed by incorporating… (more)

Subjects/Keywords: Chemical Engineering; Engineering; Electrochemical; Lithium ion battery; Modeling; Thermal

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APA (6th Edition):

Guo, M. (2011). THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/2598

Chicago Manual of Style (16th Edition):

Guo, Meng. “THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES.” 2011. Doctoral Dissertation, University of South Carolina. Accessed July 08, 2020. https://scholarcommons.sc.edu/etd/2598.

MLA Handbook (7th Edition):

Guo, Meng. “THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES.” 2011. Web. 08 Jul 2020.

Vancouver:

Guo M. THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES. [Internet] [Doctoral dissertation]. University of South Carolina; 2011. [cited 2020 Jul 08]. Available from: https://scholarcommons.sc.edu/etd/2598.

Council of Science Editors:

Guo M. THERMAL MODELS OF LITHIUM-ION CELLS AND BATTERIES. [Doctoral Dissertation]. University of South Carolina; 2011. Available from: https://scholarcommons.sc.edu/etd/2598

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